Intelligent Fault Detection of High-Speed Railway Turnout Based on Hybrid Deep Learning

2018 ◽  
pp. 98-103 ◽  
Author(s):  
Zhi Zhuang ◽  
Guohua Zhang ◽  
Wei Dong ◽  
Xinya Sun ◽  
Chuanjiang Wang
Keyword(s):  
Deep Learning ◽  
Fault Detection ◽  
High Speed ◽  
High Speed Railway ◽  
Railway Turnout

A deep learning forecasting method for frost heave deformation of high-speed railway subgrade

2021 ◽  
pp. 103265
Author(s):  
Jing Chen ◽  
Anyuan Li ◽  
Chunyan Bao ◽  
Yanhua Dai ◽  
Minghao Liu ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Speed ◽  
Frost Heave ◽  
High Speed Railway ◽  
Forecasting Method

Improvement and Lock Calculation of Electric Switch Machine of Railway Turnout

2013 ◽  
Vol 409-410 ◽  
pp. 1496-1501 ◽  
Author(s):  
Jing Mang Xu ◽  
Ping Wang ◽  
Hao Xu
Keyword(s):  
Dynamic Model ◽  
High Speed ◽  
Lateral Stiffness ◽  
High Speed Railway ◽  
Train Speed ◽  
Working Status ◽  
Stress And Deformation ◽  
Railway Turnout

Electric switch machine locks the crossing rail in the working direction and checks the working status of the crossing. With the increase of train speed, the ZD(J)9 electric switch machine cant satisfy the equipment of high speed railway, This paper studied the optimization; in order to study the lock calculation of nose rail after conversion, a dynamic model is established to research the influence of working status of the crossing. It indicates that for the first traction point, the stress and deformation are mainly affected by scant displacement between nose rail and wing rail; for the second traction point, they are affected by the gap between nose rail and spacer; fastener lateral stiffness doesnt influence the stress status, but the lateral fastener stiffness should not be too small.

Adaptive Deep Learning for High-Speed Railway Catenary Swivel Clevis Defects Detection

2020 ◽  
pp. 1-12
Author(s):  
Shibin Gao ◽  
Gaoqiang Kang ◽  
Long Yu ◽  
Dongkai Zhang ◽  
Xiaoguang Wei ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Speed ◽  
High Speed Railway

Deep learning-based visual ensemble method for high-speed railway catenary clevis fracture detection

2020 ◽  
Vol 396 ◽  
pp. 556-568 ◽  
Author(s):  
Ye Han ◽  
Zhigang Liu ◽  
Yang Lyu ◽  
Kai Liu ◽  
Changjiang Li ◽  
...  
Keyword(s):  
Deep Learning ◽  
High Speed ◽  
Ensemble Method ◽  
Fracture Detection ◽  
High Speed Railway

Wheel/Rail Contact Geometry of Different Wheel Tread Profile in High-Speed Railway Turnout

2011 ◽  
Vol 255-260 ◽  
pp. 3988-3992 ◽  
Author(s):  
Rong Chen ◽  
Wang Ping ◽  
Yang Song
Keyword(s):  
High Speed ◽  
Dynamic Interaction ◽  
Longitudinal Distribution ◽  
Key Factors ◽  
Heavy Load ◽  
High Speed Railway ◽  
Equivalent Conicity ◽  
Railway Turnout ◽  
Safety And Stability ◽  
Vertical Impact

Train/turnout dynamic interaction is exacerbated by high speed of passenger train and heavy load of freight train, and wheel/rail relation is one of the key factors that determine the running characteristics of the train. Focusing on three types of wheel treads with different profiles (TB tapered tread, LM worn tread, LMA worn tread), longitudinal distribution of the contact geometric parameters along the switch rail and nose rail of 350km/h No.18 turnout are calculated, such as tread equivalent conicity, coefficient of contact angle difference, roll angle factor, gravitational stiffness of wheelset, gravitational angle stiffness of wheelset, etc. Results show that: (1) LMA worn tread produces the smallest irregularity; (2) wheel/rail vertical impact at the frog will become bigger; (3) Top profile of switch rail and nose rail should be designed according to the wheel tread type so as to mitigate the wheel/rail dynamic interaction and increase the safety and stability of a train.

scholarly journals An Efficient Method for High-Speed Railway Dropper Fault Detection Based on Depthwise Separable Convolution

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 135678-135688 ◽  
Author(s):  
Shiwang Liu ◽  
Long Yu ◽  
Dongkai Zhang
Keyword(s):  
Fault Detection ◽  
Efficient Method ◽  
High Speed ◽  
High Speed Railway

Influence of Conversion Deviation on Dynamic Performance of High-Speed Railway Turnout

2011 ◽  
Vol 474-476 ◽  
pp. 1599-1604 ◽  
Author(s):  
Rong Chen ◽  
Wang Ping ◽  
Xian Kui Wei
Keyword(s):  
High Speed ◽  
Detection System ◽  
Structural Characteristics ◽  
Dynamic Responses ◽  
Normal Operation ◽  
Foreign Matter ◽  
Wheel Load ◽  
High Speed Railway ◽  
Lateral Displacements ◽  
Railway Turnout

Railway turnout, an integrated mechatronics equipment of track technology, is one of key equipments that control the running speed of high-speed railway. During the conversion of turnout, the friction, inclusion of foreign matter and deficient displacement of conversion caused by its own structural characteristics may lead to severe wheel/rail impact. In order to study the influence of conversion deviation on safety and comfort of a train during passing the turnout, train/turnout dynamic model was applied. Taking No.18 turnout on a Passenger Dedicated Line (PDL) with 350km/h as a case study, when the train passed it, the influences of its deficient displacement and inclusion of foreign matter on the following dynamic responses were studied, i.e. wheel load distribution, wheel flange force, dynamic stress of rail, wheel unloading rate, derailment coefficient, as well as the lateral displacements of switch rail and nose rail, etc. Result shows that: (1) the deficient displacement and the inclusion of foreign matter will severely influence the normal operation of the turnout, so the safety and comfort during the train passing through turnout may be affected; (2) During the conversion of turnout, its deficient displacement should be controlled properly, and the foreign matter should be removed during routine maintenance, moreover, a reliable detection system should be set.

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